Taxing Artificial Intelligence, 2nd Edition

Taxing Artificial Intelligence

Taxing Artificial Intelligence

Author:Xavier Oberson (Author)

Publisher finelybook 出版社:‏ Edward Elgar Publishing

Publication Date 出版日期: 2024-03-10

Edition 版本:‏ 2nd

Language 语言: English

Print Length 页数: 250 pages

ISBN-10: 1035307545

ISBN-13: 9781035307548

Book Description

In this insightful book, a fully updated edition of the author’s Taxing Robots, Xavier Oberson explores taxing Artificial Intelligence (AI) as a potential response to rising workplace disruption and inequality as the use of AI across the economy continues to grow.

Drawing on key legal and economic principles, Xavier Oberson, who may be regarded as one of the pioneers of the idea of taxing robots, examines diverse tax models that could be applied to either the use of AI, such as a usage or automation tax, or to AI systems directly, and presents a novel argument in favour of taxing AI. Oberson highlights critical issues including definitions of AI and robots, the complexity of granting a tax capacity to AI, and the compatibility of AI taxes with international tax rules. In particular, this cutting-edge new edition analyses how VAT can be applied to enterprises using AI and autonomous AI systems, and reflects on the legal and technological limits facing lawmakers.

Taxing Artificial Intelligence will be essential reading for scholars, policy makers and students across law and economics. It will also be invaluable for law and tax professionals seeking to understand the latest developments in AI, automation, and the future of work.

Editorial Reviews

Review

‘Oberson’s book is an incredible tour de force. He ventures boldly into the new field of AI and develops a truly revolutionary tax proposal. This book is a must read for anyone interested in a technology that promises to revolutionize our world in the next decade.’ — Reuven S. Avi-Yonah, University of Michigan, US

About the Author

Xavier Oberson, Professor of Law, University of Geneva, Switzerland

Amazon Page

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